Literature DB >> 21737665

Comparison of staging between the old (6th edition) and new (7th edition) TNM classifications in advanced gastric cancer.

Shiro Kikuchi1, Nobue Futawatari, Shinichi Sakuramoto, Natsuya Katada, Keishi Yamashita, Tomotaka Shibata, Masayuki Nemoto, Masahiko Watanabe.   

Abstract

BACKGROUND: The aims of the present study were to compare staging between the old (6th edition) and new (7th edition) TNM classifications, and to evaluate the prognostic impact of extended lymph node dissection according to the new nodal staging in advanced gastric cancer. PATIENTS AND METHODS: A total of 609 patients with advanced gastric cancer who had undergone curative gastric resection combined with extended lymph node dissection were enrolled in the present study. Survival curves were analyzed according to staging based on the TNM 6th and 7th editions and the Japanese Classification of Gastric Carcinoma (JCGC) 14th edition.
RESULTS: The 5-year survival rates and the consecutive stage survival with no significant differences were: IB 88%; II 74%; IIIA 53%; IIIB 39%; and IV 18% (IIIA vs. IIIB, p=0.1307) by the TNM 6th edition; IB 94%; IIA 85%; IIB 71%; IIIA 68%; IIIB 48%; IIIC 23%; and IV 13%; (IIB vs. IIIA, p=0.7665; IIIC vs. IV, p=0.4156) by the TNM 7th and JCGC 14th editions; N0 85%; N1 70%; N2 46%; N3 18%; and M1 13%; (N3 vs. M1, p=0.8640) by the TNM 6th edition; and N0 85%; N1 80%; N2 61%; N3a 46%; N3b 18%; and M1 13%; (N0 vs. N1, p=0.2735; N2 vs. N3a, p=0.0663; N3b vs. M1, p=0.8640) by the TNM 7th and JCGC 14th editions.
CONCLUSION: The new classification according to the TNM 7th and the JCGC 14th editions does not always seem to be superior to the TNM 6th edition for the prognostic stratification of stages in patients who undergo curative resection for advanced gastric cancer. An extended lymph node dissection may be effective for N0-N3a, but not for N3b and M1 stages classified according to the new TNM 7th and JCGC 14th editions.

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Year:  2011        PMID: 21737665

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  17 in total

1.  Superiority of the 8th edition of the TNM staging system for predicting overall survival in gastric cancer: Comparative analysis of the 7th and 8th editions in a monoinstitutional cohort.

Authors:  Hao Wang; Weihong Guo; Yanfeng Hu; Tingyu Mou; Liying Zhao; Hao Chen; Tian Lin; Tuanjie Li; Jiang Yu; Hao Liu; Guoxin Li
Journal:  Mol Clin Oncol       Date:  2018-07-26

2.  Lymph node ratio is a critical prognostic predictor in gastric cancer treated with S-1 chemotherapy.

Authors:  Akira Ema; Keishi Yamashita; Shinich Sakuramoto; Guoqin Wang; Hiroaki Mieno; Masayuki Nemoto; Tomotaka Shibata; Natsuya Katada; Shiro Kikuchi; Masahiko Watanabe
Journal:  Gastric Cancer       Date:  2013-06-26       Impact factor: 7.370

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Journal:  Tumour Biol       Date:  2014-04-03

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6.  Carnoy's solution increases the number of examined lymph nodes following gastrectomy for adenocarcinoma: a randomized trial.

Authors:  Andre Roncon Dias; Marina Alessandra Pereira; Evandro Sobroza Mello; Bruno Zilberstein; Ivan Cecconello; Ulysses Ribeiro Junior
Journal:  Gastric Cancer       Date:  2014-11-20       Impact factor: 7.370

7.  Comparison of the 6th and 7th editions of the AJCC/UICC TNM staging system for gastric cancer focusing on the "N" parameter-related survival: the monoinstitutional NodUs Italian study.

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Journal:  World J Surg Oncol       Date:  2015-07-16       Impact factor: 2.754

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Authors:  Ya-Wen Wang; Xu Chen; Ji-Wei Gao; Hui Zhang; Ran-Ran Ma; Zu-Hua Gao; Peng Gao
Journal:  Oncotarget       Date:  2015-04-30

9.  Predictors of outcomes in patients with gastric cancer treated with contemporary multimodality strategies-a single institution experience.

Authors:  Tuyen Hoang; Michelle Park; Darryl Hiyama; Farshid Dayyani
Journal:  J Gastrointest Oncol       Date:  2020-04

10.  Negative node count improvement prognostic prediction of the seventh edition of the TNM classification for gastric cancer.

Authors:  Jingyu Deng; Rupeng Zhang; Li Zhang; Yong Liu; Xishan Hao; Han Liang
Journal:  PLoS One       Date:  2013-11-07       Impact factor: 3.240

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